AIIMS Raipur lecturer 2021
Nursing Research & Statistics
Easy

Which among the following is not a requisite of good averaging in central tendency?

Appeared in: AIIMS Raipur lecturer 2021

Explanation

  • The question asks to identify the characteristic that is NOT a requisite for a good measure of central tendency.
  • A primary goal of a statistical average is to simplify a complex dataset into a single, easily understandable value.
  • Therefore, being 'Difficult to understand' is the direct opposite of a key requisite, which is that an average must be easy to comprehend.
  • All other options listed are desirable and necessary properties of a good average.

Why Other Options Were Wrong

  • Option B: This is a requisite of a good average. An average must be 'rigidly defined' by a specific mathematical formula to ensure that its value is consistent and not subject to the interpretation of the person calculating it.
  • Option C: This is a requisite of a good average. 'Sampling stability' means that if multiple samples are drawn from the same population, the average calculated for each sample should be relatively consistent and not vary wildly.
  • Option D: This is a requisite of a good average. A good average should be 'simple to compute' so that it can be calculated quickly and without complex mathematical procedures, making it more accessible and practical for use.

Related Visual

Visual explanation — Related Visual
Clinical Relevance
  • Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Properties of a good measure of central tendency as background academic context rather than a clinical decision trigger.
  • While this is a statistics question, understanding data is crucial in nursing. Nurses must interpret patient data (like average blood pressure over a week), hospital quality metrics (like average length of stay), and findings from nursing research.
  • Averages that are easy to understand and compute allow for quick, on-the-floor analysis and decision-making.
  • What if? - If a nurse is reading a research paper that uses a very obscure and complex measure of central tendency (one that is 'difficult to understand'), they might misinterpret the study's findings, potentially leading to the incorrect application of evidence-based practice.
How to Approach the Question
  • First, identify the negative framing of the question by spotting the word 'not'. This means you are looking for the option that does not fit.
  • Recall the fundamental properties of a good statistical average. Think about why averages are used in the first place – to simplify data.
  • Evaluate each option against these properties.
  • Option A, 'Difficult to understand', directly contradicts the primary purpose of an average, which is to be a simple, representative value.
  • Options B, C, and D ('Rigidly defined', 'Sampling stability', 'Simple to compute') are all well-known, positive attributes of a good average.
  • Therefore, the one that is 'not' a requisite is the correct answer.
Concept Tested & Keywords
  • Concept Tested: Properties of a good measure of central tendency
  • Stem keywords: requisite, good averaging, central tendency
  • Lead-in keywords: not
  • Negative lead-in flag: Question is negatively framed (NOT)

Question ID

Qtl0_oXSoKr6EKTdtbOiUY

Reference Book

E6 NursingResearch Sukhpal Kaur pp. 444-446, 448-450, 450-452

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